DATA SCIENCE
LLM Agents Help Win Kaggle Competition with 600K Lines of Code
Generative AI agents produced 600,000 lines of code and ran 850 experiments to secure first place in a Kaggle competition. Here's how they did it.
Together AI Launches DSGym Framework for Training Data Science AI Agents
Together AI's DSGym framework benchmarks LLM agents on 90+ bioinformatics tasks and 92 Kaggle competitions. Their 4B parameter model matches larger rivals.
Kaggle Grandmasters Reveal Key Techniques for Tabular Data Mastery
Explore the Kaggle Grandmasters' strategies for mastering tabular data, including GPU acceleration techniques, diverse baselines, and feature engineering. Discover how these methods can enhance real-world data modeling.
NVIDIA RAPIDS 25.08 Enhances Data Science with New Profiling Tools and Algorithm Support
NVIDIA's RAPIDS 25.08 release introduces new profiling tools for cuML, updates to the Polars GPU engine, and additional algorithm support, enhancing data science accessibility and scalability.
Enhance Python Data Science Speed with These Seven GPU-Enabled Replacements
Discover how to accelerate Python data science workflows using GPU-accelerated libraries like cuDF, cuML, and cuGraph for faster data processing and model training.
Developing an Open-Source Data Scientist Agent with TogetherAI
Explore how TogetherAI's open-source data scientist agent simplifies complex data tasks using the ReAct framework and Code Interpreter, enhancing AI-driven data analysis.
Enhancing Cloud-Based Data Science with NVIDIA CUDA-X and Coiled
Explore how NVIDIA CUDA-X and Coiled streamline cloud-based data science, offering significant computational speedups and simplifying infrastructure management for data scientists.
Optimizing Data Workflows with cudf.pandas Profiler for GPU Acceleration
Explore how cudf.pandas Profiler enhances data processing by leveraging GPU acceleration. Discover its benefits for optimizing Python data science workflows.
NVIDIA's 2024 Innovations in AI and Data Science Capture Industry Attention
NVIDIA's 2024 advancements in AI, large language models, and data science optimization have made significant impacts, as highlighted in the year's top posts.
NVIDIA RAPIDS 24.10 Enhances NetworkX and Polars with GPU Acceleration
NVIDIA RAPIDS 24.10 introduces GPU-accelerated NetworkX and Polars with zero code changes, enhancing compatibility with Python 3.12 and NumPy 2.x for improved data processing.
Enhanced UMAP Performance on GPUs with RAPIDS cuML
RAPIDS cuML introduces a faster, scalable UMAP implementation using GPU acceleration, addressing challenges in large dataset processing with new algorithms for improved performance.
AI Revolution: RAPIDS cuDF Accelerates Data Science Workflows
NVIDIA's RAPIDS cuDF boosts pandas library performance up to 100x on RTX-powered AI PCs, enhancing data science workflows.
Polars Launches GPU Engine with RAPIDS cuDF for Enhanced Data Processing
Polars releases GPU engine powered by RAPIDS cuDF, boosting data processing speeds up to 13x on NVIDIA GPUs. Now available in open beta.
NVIDIA’s AI Masters Triumph in KDD Cup 2024 Data Science Competition
NVIDIA’s AI team secures first place across all five tracks in the Amazon KDD Cup 2024, showcasing their dominance in data science.
NVIDIA Introduces Self-Paced AI and Data Science Career Development Courses
NVIDIA launches self-paced courses for career development in AI and data science, providing essential training and industry insights.